mid machine learning Applied Scientist ic 3+ yrs Master's · Posted Mar 5, 2026
$171,600 – $222,200
USD per year

About this role

Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Mountain View, CA. The posting calls out experience with Python, Java, NLP, Deep Learning and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $171,600–$222,200 per year.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Mountain View, CA
Experience
3+ years
Education
Master's degree
Department
Applied Science
Posted
Mar 5, 2026
AI Summary
Build and deploy machine learning models and scientific solutions to optimize Amazon's Stores business, focusing on delivery speed, cost reduction, and seller incentives. Work with scientists and engineers to identify bottlenecks and develop scalable solutions. Requires 3+ years building models for business applications and expertise in ML, optimization, or causal inference.

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Job description

from Amazon careers

Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. In 2024, we are focused on economics and science in areas related to (1) improving delivery speed and lowering cost-to-serve, (2) seller fees and incentives, and (3) emerging machine learning. We also have some ongoing and highly-leveraged collaborations that help partner teams inside Amazon short-circuit months of R D or otherwise look around corners. We are looking for an Applied Scientist to build and deliver state-of-the-art science and engineering solutions to improve our Stores business. In this role, you will work in a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and…

This is an excerpt. Read the full job description on Amazon careers →
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